 |
| Titel |
Real-time drought forecasting system for irrigation management |
| VerfasserIn |
A. Ceppi, G. Ravazzani, C. Corbari, R. Salerno, S. Meucci, M. Mancini |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 9 ; Nr. 18, no. 9 (2014-09-05), S.3353-3366 |
| Datensatznummer |
250120455
|
| Publikation (Nr.) |
 copernicus.org/hess-18-3353-2014.pdf |
|
|
|
|
|
| Zusammenfassung |
In recent years frequent periods of water scarcity have enhanced the need to
use water more carefully, even in European areas which traditionally have an
abundant supply of water, such as the Po Valley in northern Italy. In dry
periods, water shortage problems can be enhanced by conflicting uses of
water, such as irrigation, industry and power production (hydroelectric
and thermoelectric). Furthermore, in the last decade the social perspective
in relation to this issue has been increasing due to the possible impact of
climate change and global warming scenarios which emerge from the IPCC Fifth
Assessment Report (IPCC, 2013). Hence, the increased frequency of drought periods has
stimulated the improvement of irrigation and water management.
In this study we show the development and implementation of the PREGI
real-time drought forecasting system; PREGI is an Italian acronym that
means "hydro-meteorological forecast for irrigation management". The
system, planned as a tool for irrigation optimization, is based on
meteorological ensemble forecasts (20 members) at medium range (30 days)
coupled with hydrological simulations of water balance to forecast the soil
water content on a maize field in the Muzza Bassa Lodigiana (MBL) consortium
in northern Italy. The hydrological model was validated against measurements
of latent heat flux acquired by an eddy-covariance station, and soil
moisture measured by TDR (time domain reflectivity) probes; the reliability
of this forecasting system and its benefits were assessed in the 2012
growing season. The results obtained show how the proposed drought
forecasting system is able to have a high reliability of forecast at least
for 7–10 days ahead of time. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|